Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection

6 June 2012

Papers citing "Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection"

7 / 7 papers shown

Title
Extremal graphical modeling with latent variables via convex optimization Sebastian Engelke Armeen Taeb 31 2 0 14 Mar 2024
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 25 12 0 11 Dec 2018
Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization Feihu Huang Songcan Chen Zhaosong Lu 30 14 0 10 Oct 2016
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset T. Bouwmans A. Sobral S. Javed Soon Ki Jung E. Zahzah 39 330 0 04 Nov 2015
A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh V. Cevher 34 47 0 20 Jun 2014
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 36 206 0 21 Mar 2013
Rank-Sparsity Incoherence for Matrix Decomposition V. Chandrasekaran Sujay Sanghavi P. Parrilo A. Willsky CML 68 1,111 0 11 Jun 2009